AWS AI and Data Conference Ireland

Harness the power of generative AI, predictive ML, and data analytics to scale and respond to customer demands. Learn from AWS experts and hear firsthand from customers about their application experiences. 

 10 April 2024 | 09:00 - 18:00 GMT
Registration is now closed

Discover how generative AI and data analytics can transform your business

The AWS AI and Data Conference is a one-day event showcasing the power of Generative AI, Predictive Machine Learning, and Advanced Data Analytics for organizations. It highlights real-world applications and innovations in various industries, offering a chance to learn from AWS experts and customers who have used these technologies to scale operations and meet evolving customer demands. Attendees will explore the latest trends, best practices, and AWS tools like Amazon Bedrock, enabling efficient AI application development. Open to both experts and newcomers, the conference provides essential insights and networking opportunities to boost innovation within your organization.

Event highlights

25+ Sessions

Discover real-world success stories, cloud innovations, advances in AWS technologies & much more.

AWS community

Connect with teams, meet exhibitors and build connections with like-minded tech enthusiasts.

Ask an AWS Expert

Get those questions off your chest in 1:1 time with an AWS team member.

Generative AI Demos

Join us for an informative and interactive generative AI demos.

Startup Loft

Get in touch with leading Irish Startups, meet the AWS Startup team, connect with peers and learn what startups build on.

Public Sector

Get inspired by your peers from public sector organizations and institutions. Deepen your insights on data protection, AI/ML in education, digital health, and more.

Industry Solutions

Explore Gen AI applications and trends with AWS experts, discovering how to apply the latest in your industry effectively.


Get hands-on experience with AWS at one of our free, guided workshops.


Barry Morris

Barry Morris

General Manager, Purpose Built Databases, Amazon Web Services

Eddie Wilson

Eddie Wilson

Chief Executive Officer, Ryanair DAC

Helena Yin Koeppl | Director of Enterprise Strategy at AWS

Helena Yin Koeppl

Director of Enterprise Strategy, Amazon Web Services

John Hurley

John Hurley

Chief Technology Officer, Ryanair

Martin Holste

Martin Holste

CTO for Cloud and AI, Trellix

Rick Sears

Rick Sears

General Manager of Amazon Athena, EMR, and Lake Formation, Amazon Web Services

Sasha Rubel

Sasha Rubel

Head of Public Policy for Artificial Intelligence and Machine Learning at Amazon Web Services for Europe, Middle East, and Africa

Joe Smyth

Joe Smyth

SVP of R&D, Digital & AI and Site Lead at Genesys 

Emily Webber

Emily Webber

Tech Lead for GenAI on SageMaker, Amazon Web Services

Alessandra Sala

Alessandra Sala

Sr. Director of AI and Data Science, Shutterstock

Alan Roche

Alan Roche

Senior Cloud Architect and Lead Developer, Trellix

Untitled design - Mark Greville Workhuman

Mark Greville

Vice President of Architecture, Workhuman

Untitled design - Kamal Sampathkumar Workhuman

Kamal Sampathkumar

Senior Manager, Data Architecture, Workhuman


  • Keynote
  • 08:30 – 09:30


    09:30 - 09:45



    • Mark Dunleavy, General Manager, Ireland and Northern Ireland, Amazon Web Services
    • David McAvinue, Senior Account Manager, Amazon Web Services
    • Richard Jones, Enterprise Technologist, Amazon Web Services

    9:45  – 10:15

    Ryanair - a decade of growth


    • Eddie Wilson, Chief Executive Officer, Ryanair
    • Barry Morris, General Manager, Purpose Built Databases, Amazon Web Services

    10:15  – 11:50

    The virtual analyst: Trellix scales security operations with Amazon Bedrock and AWS EMR


    • Martin Holste, CTO Cloud and AI, Trellix
    • Rick Sears, General Manager of Amazon Athena, EMR, and Lake Formation, Amazon Web Services

    10:50  – 11:00

    An overview of today's upcoming sessions


    • Emily Webber, Tech Lead for GenAI on SageMaker, Amazon Web Services

    11:00 – 11:30


  • Business Track
  • 11:30  – 11:45

    AWS generative AI updates


    • Richard Jones, AWS Enterprise Technologist, Amazon Web Services

    11:45 – 12:15

    A leader’s guide to generative AI


    • Helena Yin Koeppl, Director of Enterprise Strategy, Amazon Web Services

    12:15 – 12:45

    Panel Discussion: How to use Data & AI to drive strategy

    12:45 – 13:15

    Driving supply chain innovation with Everstream

    Discover how Everstream delivers predictive insights and risk analytics, enabling global logistics companies to achieve faster, smarter, leaner, and more sustainable supply chains. The solution is supported by key AWS services, including Glue, Kafka, Athena, and Redshift


    • Alejandro Alfaro, Principal Data Scientist, Everstream Analytics
    • Colm Harte, Head of Delivery, EMEA, Nearform

    12:45 – 13:15

    The road to GenAI in production: Insights and strategies for success

    Hear how Slalom are taking customers on a journey from concept to production to realise the potential of GenAI.


    • David Gregg, Slalom Build's Managing Director

    13:45 – 14:30


    14:30 – 15:00

    Data & AI for digital supply chain


    • Hector Ibarra, Principal Solutions Architect, Amazon Web Services

    15:00 – 15:30

    Operationalising responsible generative AI: From principles to practice

    In this talk, take a deep dive into AWS’s approach to responsible AI, and the opportunities and challenges presented by the rapid growth of generative AI. Learn about how AWS is operationalising principles for responsible AI, and what you can do to promote trustworthy adoption and innovation for the good of both business and the world.


    • Sasha Rubel, EMEA Public Policy Lead for AI and ML, Amazon Web Services

    15:30 – 16:00

    Enabling a culture of experimentation with AWS Prototyping & EBA


    • Diana Morrow, Learning and Development Partner, Aflac
    • Gaurav Kaila, Head of UK/I Prototyping, Amazon Web Services
    • Peter Trimble, Senior Solutions Architect, Amazon Web Services

    16:00 – 16:30

    Using AI for ESG reporting and data-driven decision-making


    • Stephen Gallagher, Senior Solutions Architect, Amazon Web Services

    16:30 – 18:00

    Networking Drinks

  • Tech Track 1 - AI/ML
  • 11:30 – 12:15

    Train and tune your own foundational model (L300)


    • Emily Webber, Tech Lead for GenAI on SageMaker, Amazon Web Services
    • Alessandra Sala, Sr. Director of AI and Data Science, Shutterstock

    12:15 – 13:00

    How Sonrai Analytics leverages ML to accelerate Precision Medicine (L300)


    • Gerard Loughran, Head of Engineering, Sonrai Analytics
    • Jonah Craig, Startup Solutions Architect, Amazon Web Services
    • Matthew Alderdice, Head of Data Science, Sonrai Analytics

    13:00 – 13:45

    Generative AI in action: Datalex's innovative approach with Amazon Codewhisperer, Amazon Q, and Amazon Bedrock (L300)


    • Ashley Woods, Director of Engineering Strategy, Datalex
    • Kanniah V J, Senior Solutions Architect, Amazon Web Services

    13:45 – 14:30


    14:30 – 15:15

    Demystifying LLMs and AI internals: Intuitions and mental models for busy engineers (L300)


    • Alan Roche, Senior Cloud Architect and Lead Developer, Trellix
    • Ronan Guilfoyle, Head of Ireland Solution Architects, Amazon Web Services

    15:15 – 16:00

    Optimising and scaling LLM inference on Amazon SageMaker (L400)

    As generative AI continues to revolutionise industries, deploying and scaling large language models (LLMs) efficiently poses a serious challenge for businesses. It is necessary to manage and perform your LLM inference effectively so that you can achieve scale and price-performance.

    In this session we dive into actionable techniques for machine learning engineers and data scientists to run LLM inference at scale using Amazon SageMaker. You will receive step-by-step guidance on how to optimise LLMs for real-time inference after which you will learn about deploying multiple models on one endpoint to decrease your operational costs. Join us as we explore various optimisation options, draw insights from real-life use cases and offer practical guidance on optimising and scaling your own use cases.


    • Laurens van der Maas, Machine Learning Engineer, Amazon Web Services
    • Nick McCarthy, Snr Machine Learning Engineer, Amazon Web Services
    • Daniel Zagyva, Data Scientist, Amazon Web Services

    16:00 – 16:30

    Improve customer experience with Amazon Q in Connect using generative AI powered agent assistance in real-time (L200)

    In this session we dive into how Amazon Q in Connect offers generative AI powered agent assistance in real-time. Learn how Amazon Connect uses generative AI to deliver agents suggested responses and actions to address customer questions, providing faster issue resolution and improved customer satisfaction. 


    • Russell Yeates, Customer Experience Specialist, Amazon Web Services

    16:30 – 18:00

    Networking Drinks

  • Tech Track 2 - Data & Analytics
  • 11:30 – 12:15

    Building an end to end data strategy for analytics and generative AI (L300)


    • Rick Sears, General Manager of Amazon Athena, EMR, and Lake Formation, Amazon Web Services
    • Mark Greville, Vice President of Architecture, Workhuman
    • Kamal Sampathkumar, Senior Manager, Data Architecture, Workhuman

    12:15 - 12:45

    Migrate and modernize your database applications (L300)


    • Barry Morris, General Manager, Purpose Built Databases, Amazon Web Services
    • Venkatesh Periyathambi, Principal Partner SA, Database, Amazon Web Services

    12:45 - 13:15

    Simplify data integration with Zero-ETL features (L300)

    Uncover the power of Zero-ETL integrations for your data in AWS. Learn firsthand how integrating Amazon Aurora with Amazon Redshift and Amazon DynamoDB with Amazon OpenSearch enables near real-time analytics and machine learning. Tailored for developers,  architects, and administrators, discover key insights, best practices, and techniques for seamless integration of fully managed services, reducing latency and unlocking the full potential of your data in AWS.


    • Stas Bogachinsky Sr Database Specialist SA, Amazon Web Services
    • Aman Dhingra, Sr DynamoDB SA, Amazon Web Services

    13:15 - 13:45

    Aflac's Journey from days to seconds of data processing with Amazon MSK (L300)

    Aflac’s Digital Hub is the source of truth for their customer data. The platform serves as a foundational service supporting multiple different domains and lines of business. Aflac’s real-time processing of data streams ensures that common business transactions have a shared language, and can be notified in near real time to consumers across their systems estate of strategic services. In this session learn how Aflac’s engineering team uses Amazon MSK and other AWS analytics services to build a secure, scalable, observable, cost-effective, and extensible data platform that reduces record updates from days to seconds.


    • Robert Conn, Solutions Architect, Aflac
    • Fiachra McVicker, Engineering Coach, Aflac

    13:45 – 14:30


    14:30 – 15:10

    Data foundations in the age of generative AI (L300)

    An unprecedented level of interest in Generative AI, is fueling a forcing function to move and work with data in the cloud. While on one hand there is a need for data foundation constructs such as data architectures, data stores, data governance, data strategy to evolve, on the other hand business elements need to stay constant such as organizations wanting to be cost-efficient while maximizing performance with their Generative AI adoption. In this session we will cover how AWS for data provides the building blocks to balance both needs, and empower businesses like to build analytics and Generative AI applications to deliver near real-time customer experiences.


    • Imtiaz (Taz) Sayed, Pr Analytics SA Tech Leader, Amazon Web Services
    • Alin George Enache, Head of Engineering.

    15:10 – 15:50

    Modernize data analytics and governance on AWS (L300)

    In this session we will provide guidance on leveraging AWS for modernizing your data analytics and governance capabilities. We will explore how Amazon EMR, Amazon Athena, AWS Lake Formation, AWS Glue, and Amazon DataZone can streamline your operations, from managing big data to gaining actionable insights. We will focus on what matters to you: improving efficiency, making smarter decisions faster, and securing your data in the digital age. You will also hear from on how they leverage these services and open source technologies like data.all to simplify complex processes and ensure data is a powerful asset for growth.


    • Vinita Ananth, Director, Product Management
    • Zilvinas Saltys, Senior Principal Architect,

    15:50 – 16:30

    Enhancing Search on AWS with AI, RAG, and Vector Databases (L300)

    As AI continues to transform industries, the applications of generative AI and Large Language Models (LLMs) are becoming increasingly significant. This session delves into the utility of these models across various sectors. Gain an understanding of how to use LLMs, embeddings, vector datastores, and their indexing techniques to create search solutions for enhanced user experiences and improved outcomes on AWS using Amazon Bedrock, Aurora, and LangChain. By the end of this session, participants will be equipped with the knowledge to harness the power of LLMs and vector databases, paving the way for the development of innovative search solutions on AWS.


    • Suman Debnath, Principal Developer Advocate, Amazon Web Services
    • Divya Sharma, Sr. RDS PostgreSQL SA, Amazon Web Services

    16:30 – 18:00

    Networking Drinks

  • Startup Loft
  • The Startup Loft is our dedicated hub for startups of all shapes and sizes to learn more about the ways generative AI and Data are being leveraged by the most innovative businesses in Ireland. Join investors, founders, and leading startup experts as they take the stage at the Startup Theatre, see generative AI in action at the demo pods, and get your questions answered at the Startup Expert bar.

    In collaboration with

    11:30 – 12:15

    Go to market panel

    This panel will explore how to build a successful go to market strategy, establishing product market fit, common pitfalls to avoid, and discusses how companies have successfully leveraged AWS marketplace as part of their GTM Strategy.


    • Niall Duffy, Senior Manager, Partner Development, Amazon Web Services
    • Charlie Ardagh, Partnerships, Tines
    • Aine Mulloy, Startup Account Manager, Amazon Web Services

    12:15  – 13:00

    Investor Panel

    From cutting through the generative AI hype to identifying where the dry powder is really hiding, join this session to get the lowdown from a panel of seasoned investors to understand which industries they're backing, what makes a successful deeptech startup, and the common mistakes founders are making when pitching for investment. 


    • Edel Coen, Investor, Molten
    • Beth Glenfield, Investor, Ada Ventures
    • Ellen McCance Pinschmidt, Venture Partner, MiddleGame Ventures
    • John Frizelle, CTO and Venture Partner, Sure Valley Ventures
    • Ed O’Riordan, Startup Business Development Manager, Amazon Web Services

    13:00 - 14:00

    Startup Lunch

    14:00 - 15:00

    Generative AI talk

    Are you interested in learning about the technology behind generative AI and how you can build a Proof of Concept on AWS with services such as Amazon Bedrock? Join us at the Startup Stage to learn about how Foundational Models (FMs) and Large Language Models (LLMs) work, and how you can begin to adopt these technologies into your own company. Cutting edge customer use-cases will be showcased to highlight the art of the possible with these technologies.


    • Jonah Craig, Startup Solutions Architect, AWS
    • Kwex Nwachukwu, Lead Solutions Architect, Automat-it

    15:00 - 15:45


    16:30 – 18:00

    Networking Drinks

  • Workshops
  • 11:30 – 13:45

    Data engineering workshop

    Unlock the power of data with our Data Engineering workshop! Dive deep into AWS analytics services using hands-on labs and modules that focus on the ingestion, hydration, exploration, and consumption of data within an AWS data lake. Don't miss this opportunity to revolutionize your data strategy and build a future-proof, cloud-native data lake with confidence!

    Audience: Data Engineers, Data Analysts, Solutions Builders, Software Developers
    Level: 300
    Duration: 2 hours

    Places are limited, register here

    14:15 – 16:30

    Amazon Bedrock workshop

    Join our Amazon Bedrock Workshop and harness the power of foundation models (FMs). Explore common generative AI usage patterns and gain practical experience with Bedrock APIs, SDKs, and open-source tools like LangChain and FAISS. Whether you're a seasoned developer or exploring AI for the first time, this workshop equips you with the skills to implement advanced AI techniques effectively.

    Audience: AI/ML engineers, Solutions Builders, Software Developers, Data Scientists
    Level: 300
    Duration: 2 hours
    Register in advance, spaces limited -

Gold Sponsors

Silver Sponsor

Startup Loft Sponsor

F I N D   O U T   M O R E

Frequently asked questions

  • The AI and Data Conference Ireland is ideal for a diverse range of professionals including business leaders, data scientists, developers, IT professionals, and anyone keen on harnessing the power of Generative AI, Predictive Machine Learning, and Advanced Data Analytics. Whether you're looking to scale your operations, adapt to changing customer demands, or simply explore the latest in AI and data analytics innovations, this event offers valuable insights and networking opportunities. It caters to both seasoned experts seeking to deepen their knowledge and newcomers eager to understand the fundamentals and applications of these transformative technologies in various industries.

    The AWS AI and Data Conference is scheduled for 10 April 2024. 

  • We designed the AWS AI and Data Conference Ireland for an in-person audience. There will be no virtual component for the event. 

  • No, registration is complimentary for this event.

  • For attendees, we've reserved room blocks on the 9th and 10th of April. Your confirmation email will include a promo code for booking at the conference hotel. If the code doesn't work, it may mean the rooms are fully booked. However, ensure you've applied the code correctly, as some errors have occurred with the hotel's booking tool. Given Kilkenny's compact size, there are numerous excellent hotels nearby. Should the conference hotel be full, we recommend searching online for nearby hotels to check their availability.

  • The event will take place at the Lyrath Convention Centre in Kilkenny, Ireland on 10 April 2024 from approximately 09:00 AM – 6:00 PM. 

  • To change or cancel your registration, email us directly at